The high burden of obesity and abdominal obesity in urban Indian schoolchildren: a multicentric study of 38,296 children

Ann Nutr Metab. 2011;58(3):203-11. doi: 10.1159/000329431. Epub 2011 Jul 14.

Abstract

Aims: The objective of this study was to assess the prevalence of overweight, obesity and abdominal obesity and their associated factors in a large sample of urban Indian schoolchildren.

Methods: This is a cross-sectional study conducted in 5 cities in India. Height and weight were measured in 38,296 children and waist circumference was measured in 29,244 children aged 8-18 years. The prevalence was compared with respect to age, gender, type of school and city of residence.

Results: The mean ± standard deviation for age was 13.3 ± 2.4 years and 18.3 ± 4.3 kg/m(2) for BMI. The prevalence of overweight and obesity in 8- to 18-year-old children, respectively, was 14.4 and 2.8% by IOTF cutoffs, 14.5 and 4.8% by CDC cutoffs and 18.5 and 5.3% by WHO cutoffs. When applying the cutoffs specific for Indian ethnicity in 14- to 18-year-old children, the prevalence was higher (21.1 and 12.3%, respectively) as compared to the IOTF, WHO and CDC cutoffs. The overall prevalence of abdominal obesity in urban Indian schoolchildren was 4.5%. The prevalence of overweight and abdominal obesity was significantly higher in females than males (p < 0.001). High socioeconomic status and residing in cities with a population greater than 4 million were independently associated with overweight and abdominal obesity (p < 0.001). On extrapolating these data, more than 15 million children would currently be overweight and 4 million abdominally obese in urban India.

Conclusions: There is a substantial burden of childhood obesity in India, which necessitates comprehensive urban-based campaigns for its prevention and control.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Body Mass Index
  • Body Weight
  • Child
  • Cross-Sectional Studies
  • Female
  • Humans
  • India / epidemiology
  • Logistic Models
  • Male
  • Multivariate Analysis
  • Obesity / epidemiology*
  • Obesity, Abdominal / epidemiology*
  • Overweight / epidemiology*
  • Prevalence
  • Socioeconomic Factors
  • Urban Health
  • Urban Population
  • Waist Circumference
  • White People